A new tracking method for small infrared targets

A new tracking method for small infrared targets
复制标题

DOI:
10.1109/icip.2009.5414290
复制
发表时间:
2009-11
期刊:
2009 16th IEEE International Conference on Image Processing (ICIP)
影响因子:
--
通讯作者:
Lei Yang;W. Lu;Jie Yang
Lei Yang;W. Lu;Jie Yang
中科院分区:
其他
文献类型:
--
作者:
Lei Yang;W. Lu;Jie Yang

文献摘要

被引文献

相似文献

我们报告一种新的方法来跟踪小红外目标。该方法对现有的目标跟踪器进行改进,将均值漂移跟踪器与卡尔曼滤波相结合,通过测量目标区域的复杂度来更新跟踪参数。我们进一步发展了一种非线性算法,以提高传统的均值漂移跟踪器对红外小目标的鲁棒性。实验结果表明,与现有的目标跟踪器相比,该方法具有上级性能,特别是在强测量噪声和光照变化较大的环境中。
We report on a new approach to tracking small infrared targets. The method improves on existing target trackers by combining mean-shift tracker with Kalman filtering and by updating the tracking parameters through the measurement of the complexity of the target region. We have further developed a nonlinear algorithm to improve the robustness of the traditional mean-shift tracker for small infrared targets. Experimental results demonstrate a superior performance of our method compared to existing target trackers, particularly in the environment of strong measurement noise and large variation of illumination.